Quantitative Modeler Manager - AML

Usbank; Columbus (OH); On-site; USD 133,000 - 157,000; Full time

Benefits offered by this job

Healthcare

Retirement plan

Paid vacation

Parental leave

Disability insurance

Sick leave

Job summary

U.S. Bank is seeking an experienced FIU/AML professional to lead the development and enhancement of transaction monitoring models, including Actimize and SAS/Python based systems.

The role requires coordinating with EFCC and Model Risk Governance, and delivering clear documentation and presentations to senior leadership. You will manage multiple priorities, communicate across teams, and advance anomaly detection capabilities with machine learning while ensuring compliance and regulatory

Qualifications

• Extensive knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS, Python, or similar package
• Advanced data compilation, programming skills and qualitative analysis skills
• Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Thorough knowledge of applicable regulatory rules, guidance, or supervisory letters
• In depth knowledge of Bank products and services
• Demonstrated independence, teamwork and leadership skills
• Strong analytical, organizational, problem-solving, negotiation, and project management skills
• Excellent interpersonal, verbal and written communication skills

Responsibilities

• Partner with EFCC and FIU to become familiar with transaction monitoring applications, approaches and processes.
• Supporting/owning/enhancing existing models
• Driving the full model-development lifecycle, from data exploration to pilot to production level models.
• Creating robust model development documentation specific to U.S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address any concerns.
• Ongoing model monitoring in partnership with another FIU team, requiring research and analysis based on performance metrics.
• Defending modeling approaches/methodologies/design decisions to internal and external examiners.

Skills

Regression techniques

Time series

Model development

Communication skills

Leadership

Education

Bachelor's degree in quantitative field

MA/MS in quantitative field

PhD in quantitative field

Tools

SAS

Python

Job description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

NOTE: This position is not eligible for visa sponsorship.

This individual will work with a team of Financial Intelligence Unit (FIU) analysts responsible for supporting the development, production, and ongoing maintenance (including tuning and performance monitoring) of the Bank’s Anti-Money Laundering (AML) Transaction Monitoring systems. These systems include the Actimize SAM Security Blanket model as well as a portfolio of targeted monitoring models developed internally via SAS/SQL/Python.

The ideal candidate for this position will have prior experience developing BSA/AML monitoring applications and related professional documentation (development documents, procedure manuals, PowerPoint presentations, etc.). The candidate must be highly motivated, organized, and an effective manager of time with the ability to handle multiple priorities simultaneously. This individual will have proven capabilities driving analytical projects that require communication and coordination with team members and stakeholders.

Additionally, this candidate will play a key role in advancing the AML monitoring program at U.S. Bank into more sophisticated anomaly detection systems. The candidate must be able to demonstrate expertise in true machine learning modeling approaches. The role is highly technical and requires significant interaction with both internal and external review and validation functions, along with the ability to explain complex concepts in a manner appropriate for various levels of audiences.

Essential functions include:

• Partnering with team members in Enterprise Financial Crimes Compliance (EFCC) and the FIU to become familiar with various transaction monitoring applications, approaches and processes.
• Supporting/owning/enhancing existing models
• Driving the full model-development lifecycle, from data exploration to pilot to production level models.
• Creating robust model development documentation specific to U.S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address any concerns related to the models throughout the life of the program.
• Ongoing model monitoring in partnership with another FIU team, requiring research and analysis as appropriate based on performance metrics and Below the Line testing efforts.
• Defending modeling approaches/methodologies/design decisions to both internal and external examiners.

Professional communication skills are crucial as this individual (and their work product) will represent the FIU team to EFCC senior leadership, Model Risk Management, internal audit and quality assurance functions, business partners, and regulators.

Basic Qualificati ons

• Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience

OR

• MA/MS in a quantitative field, and six or more years of related experience

OR

• PhD in a quantitative field, and five or more years of related experience

Preferred Skills/Experience

• Extensive knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS, Python, or similar package
• Advanced data compilation, programming skills and qualitative analysis skills
• Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Thorough knowledge of applicable regulatory rules, guidance, or supervisory letters
• In depth knowledge of Bank products and services
• Demonstrated independence, teamwork and leadership skills
• Strong analytical, organizational, problem-solving, negotiation, and project management skills
• Excellent interpersonal, verbal and written communication skills

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

Benefits

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here (https://careers.usbank.com/global/en/benefits/us) .

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program (https://careers.usbank.com/verification-of-eligibility-for-employment) .

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.